Probability mollification contracts the homogeneous weak gradient norm
ProvedHunterPDE.Sobolev.eLpNorm_gradient_convolution_lemollificationsobolev-spacesweak-derivatives
Let be locally integrable on Euclidean space and have weak first partial derivatives in , where . For every nonnegative smooth compactly supported kernel of integral one,
The right side uses the Euclidean length of the selected weak partial derivatives. No global membership of is required. The statement includes dimension zero, with local integrability specified separately. This is the fixed-kernel homogeneous version of the usual Sobolev mollification estimate; it follows by commutation with weak derivatives, the triangle inequality for the vector integral, and scalar Young contraction. It is an open prerequisite, not a claim of an established proof.
Preamble
import Definitions.Def_HunterPDE_Shared_WeakDeriv import Mathlib.Analysis.Calculus.Gradient.Basic import Mathlib.Analysis.Calculus.BumpFunction.Convolution open MeasureTheory ContinuousLinearMap open scoped Convolution ENNReal
Formal statement
theorem HunterPDE.Sobolev.eLpNorm_gradient_convolution_le {n : ℕ} {p : ENNReal}
(hp : 1 ≤ p) (hptop : p ≠ ⊤)
(f : EuclideanSpace ℝ (Fin n) → ℝ) (hloc : LocallyIntegrable f volume)
(hf : ∀ i : Fin n, ∃ g : EuclideanSpace ℝ (Fin n) → ℝ,
HunterPDE.Shared.HasWeakDeriv Set.univ (Pi.single i 1) f g ∧ MemLp g p volume)
(ρ : EuclideanSpace ℝ (Fin n) → ℝ)
(hρ : HunterPDE.Shared.IsTestFunction Set.univ ρ)
(hρ0 : ∀ x, 0 ≤ ρ x) (hρ1 : ∫ x, ρ x = 1) :
eLpNorm (fun x => ‖gradient (ρ ⋆[lsmul ℝ ℝ, volume] f) x‖) p volume ≤
eLpNorm (HunterPDE.Shared.weakGradNorm Set.univ f) p volume := by sorry
Source
Hunter, Notes on Partial Differential Equations (2014), https://www.math.ucdavis.edu/~hunter/pdes/ch3.pdf, printed p.55 Theorem 3.19 (commutation), and printed p.70 proof of Theorem 3.37 (mollification). Fixed-kernel homogeneous generalization of those arguments; scalar Young estimate from printed p.9 Theorem 1.23, https://www.math.ucdavis.edu/~hunter/pdes/ch1.pdf. Euclidean vector norm retained before applying Young, so no dimension factor is introduced.